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Paper Citation Record · LEDGER

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.19325.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.19325 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:10:24.063902Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T02:46:27.697584Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 096ed957-a09a-4325-a917-d8a9d65778c0 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.699864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:e202d2800b327960683a238fe559db3e50eae66f946c0d32728849dba1626855

Observation 368e064a-9cab-412f-8f2c-c58f1d0a5ebb · inbound

Retrofitting Large Language Models with Dynamic Tokenization cites this paper.

Retrofitting Large Language Models with Dynamic Tokenization Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T11:10:24.063902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:10:24.063902Z digest=sha256:e80f0ecc73944fa5a32af530059a8efcf68396dead68cbb0c889aa9cf9979733

Observation 58808ff0-88c8-4bf2-85fe-c9d40a0b1239 · inbound

Chunk-Distilled Language Modeling cites this paper.

Chunk-Distilled Language Modeling Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 2020

Resolution
malformed identifier
no resolver link, observed 2026-08-10T23:01:15.241306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:15.241306Z digest=sha256:ea1d91c236ee911c19c6253d672902407f458a1ad50e42958b6eadf5b6d79434

Observation 8155c263-900f-463b-bca9-60a5013e2078 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:44.604539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:44.604539Z digest=sha256:49eae5b400bcba29a3510d33fad1d35fcc3fc4ae9b4f17b8ba0c683504f924d0

Observation f7370aeb-b25d-4a3a-885d-5eea19ab93d8 · inbound

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs cites this paper.

Advancing Decoding Strategies: Enhancements in Locally Typical Sampling for LLMs Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:26.139915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:26.139915Z digest=sha256:5ced9ee86f56c1cccd9093c48cdb594979fef5378bb773f6da0d0350452606ac

Observation e40e216e-9572-4434-8efd-09dcc1e17803 · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:53:18.267137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:53:18.267137Z digest=sha256:246f7c9f1f3ab09edcae45d31c4e66e72e320bea609e5d0909a0b6749b472e16

Observation d003755e-8ce4-40ec-9c9c-156e64cbeb92 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:47.896329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:47.896329Z digest=sha256:22318fb7f600ea21c9a39497cb212e0da74fb481c9ff3ac3184ed0c55fe9e13b